Triple
T24395553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyudmila Pavlichenko |
E615017
|
entity |
| Predicate | numberOfConfirmedKills |
P156045
|
FINISHED |
| Object | 309 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 309 | Statement: [Lyudmila Pavlichenko, numberOfConfirmedKills, 309]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConfirmedKills Context triple: [Lyudmila Pavlichenko, numberOfConfirmedKills, 309]
-
A.
serviceNumberOfConfirmedKills
Indicates the number of enemy combatants an individual is officially credited with having killed in the course of their service.
-
B.
killersPerMatch
Indicates the number of kills attributed to an entity in a single match or game instance.
-
C.
numberOfPerpetratorsKilled
Indicates the count of perpetrators who were killed in the context of the described event or incident.
-
D.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
E.
keyFigureKilled
Indicates that a central or important individual was killed, typically as a significant event in the context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294d69b5c81908cf6143374934f5c |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:04 a.m.